Tad: Application for viewing and analyzing tabular data such as CSV files (Free app)
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The Tad desktop application enables you to quickly view and explore tabular data in several of the most popular tabular data file formats: CSV, Parquet, and SQLite and DuckDb database files. Internally, the application is powered by an in-memory instance of DuckDb, a fast, embeddable database engine optimized for analytic queries.
The core of Tad is a React UI component that implements a hierarchical pivot table that allows you to specify a combination of pivot, filter, aggregate, sort, column selection, column ordering and basic column formatting operations. Tad delegates to a SQL database for storage and analytics, and generates SQL queries to perform all analytic operations specified in the UI.
Ted is a fast viewer for CSV and Parquet files and SQLite and DuckDb databases that supports large files.
It's a Pivot Table for analyzing and exploring data. Internally, Tad uses DuckDb for fast, accurate processing.
The Tad desktop application enables you to quickly view and explore tabular data in several of the most popular tabular data file formats: CSV, Parquet, and SQLite and DuckDb database files. Internally, the application is powered by an in-memory instance of DuckDb, a fast, embeddable database engine optimized for analytic queries.
The core of Tad is a React UI component that implements a hierarchical pivot table that allows you to specify a combination of pivot, filter, aggregate, sort, column selection, column ordering and basic column formatting operations. Tad delegates to a SQL database for storage and analytics, and generates SQL queries to perform all analytic operations specified in the UI.
Ted is written with TypeScript.
Platforms
macOS null
License
MIT license
Tags
CSV,data analysis,tabular data,data, csv viewer,data science,data engineering,
